DETERMINISTIC MODEL FOR PREDICTING TEMPERATURE CHANGE FROM GREEN HOUSE GASES

Abstract

A deterministic model for predicting temperature change from green house gases was developed and simulation of the model equation was done by inputting the parameters such as specific heat capacity of the gases, density of the gases, heat transfer coefficient of the gases, minimum temperature change of the materials to radiate heat, Stefan Bolt man's Constant, emissivity of the materials at varying time. The model was simulated using Mat Lab. Experiment to demonstrate green house effect. Materials used are charcoal, chippings, laterite, organic soil and sharp sand. In this research ' work the developed model was tested using data generated from green house effect. The experImental and simulated results were obtained and the graphs were plotted to show the relationship and the trend of the results. The slopes of the experimental graph are 0.18000,0.15733,0.126667,0.153333, and 0.14000. The average slope of experimental graph is 0.151466, and the average slope of the simulated graph is 0.1511084 while the . difference between the average simulated slope and the experimental one is 0.03576 percent this shows the extent of their closeness. The slope of the graphs also show that the deterministic model can serve as tool for analysis of temperature change from green house gases with respect to time. vi